Title |
In vivo Characterization of Amorphous Silicon Carbide As a Biomaterial for Chronic Neural Interfaces
|
---|---|
Published in |
Frontiers in Neuroscience, June 2016
|
DOI | 10.3389/fnins.2016.00301 |
Pubmed ID | |
Authors |
Gretchen L. Knaack, Daniel G. McHail, German Borda, Beomseo Koo, Nathalia Peixoto, Stuart F. Cogan, Theodore C. Dumas, Joseph J. Pancrazio |
Abstract |
Implantable microelectrode arrays (MEAs) offer clinical promise for prosthetic devices by enabling restoration of communication and control of artificial limbs. While proof-of-concept recordings from MEAs have been promising, work in animal models demonstrates that the obtained signals degrade over time. Both material robustness and tissue response are acknowledged to have a role in device lifetime. Amorphous Silicon carbide (a-SiC), a robust material that is corrosion resistant, has emerged as an alternative encapsulation layer for implantable devices. We systematically examined the impact of a-SiC coating on Si probes by immunohistochemical characterization of key markers implicated in tissue-device response. After implantation, we performed device capture immunohistochemical labeling of neurons, astrocytes, and activated microglia/macrophages after 4 and 8 weeks of implantation. Neuron loss and microglia activation were similar between Si and a-SiC coated probes, while tissue implanted with a-SiC displayed a reduction in astrocytes adjacent to the probe. These results suggest that a-SiC has a similar biocompatibility profile as Si, and may be suitable for implantable MEA applications as a hermetic coating to prevent material degradation. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 81 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Researcher | 12 | 15% |
Student > Master | 9 | 11% |
Student > Doctoral Student | 7 | 9% |
Student > Bachelor | 7 | 9% |
Other | 8 | 10% |
Unknown | 19 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 38 | 46% |
Medicine and Dentistry | 6 | 7% |
Materials Science | 6 | 7% |
Neuroscience | 6 | 7% |
Unspecified | 1 | 1% |
Other | 3 | 4% |
Unknown | 22 | 27% |